![Generative AI for Testers [Certification Course]](https://uploads-us-west-2.insided.com/tricentis-en/attachment/9c2c56e2-629f-43e4-ac1e-5f284a42b75e_thumb.png)
🎓 Course Overview: Generative AI for Testers
Generative AI is revolutionizing software testing, transforming it from a futuristic concept into a present-day necessity. To equip testers with the skills needed to navigate this evolving landscape, Tricentis presents the Generative AI for Testers course. This interactive mini-course is designed to help testers understand, apply, and benefit from Generative AI in their testing processes.
🧠 What You'll Learn
By the end of this course, you will be able to:
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Explain the fundamentals of Generative AI, how it differs from traditional AI, and its role in software testing.
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Identify and apply AI-powered testing techniques, including prompt engineering, in-context learning, and model selection.
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Evaluate the advantages, limitations, and biases of Generative AI models to make informed testing decisions.
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Implement AI-driven testing strategies by selecting the right tools, building data foundations, and integrating AI into workflows.
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Develop an AI adoption strategy for testing teams, ensuring collaboration, measurable impact, and continuous improvement.
By achieving these outcomes, you'll be prepared to leverage Generative AI in real-world testing scenarios.
👨🏫 Led by Rahul Parwal
The course is led by Rahul Parwal, a seasoned software testing professional, speaker, and author. With extensive experience in web, desktop, API, and mobile testing, Rahul brings a wealth of knowledge to the course, ensuring participants gain practical insights into the application of Generative AI in testing.
📜 Certification
Upon successful completion of the course and all of the post-session exercises, participants can submit a request to receive a certificate of completion, demonstrating their proficiency in applying Generative AI concepts to software testing.
Plus a digital badge that will automatically be added to your ShiftSync profile, highlighting your achievement to peers.
- You can return to any completed step anytime for review.
- Score needed to pass is at least 75% in all the quizzes and exams.
- Example Score Breakdown:
Quiz 1: 75pt/100 (3 out of 4)
Quiz 2: 75pt/100 (3 out of 4)
Quiz 3: 75pt/100 (3 out of 4)
Quiz 4: 75pt/100 (3 out of 4)
Final Exam: 80pt/100 (8 out of 10)
Total: 380/500pt - You can re-submit your exercises and final exam if you're not satisified with your score.
🚀 Get Started
Embark on your journey to mastering Generative AI in software testing by enrolling in the course here:
👉 Start Learning Now
